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Head of Machine Learning, Fraud & Identity

ensemble partners • United State
Remote
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Lead and scale the fraud detection ML function for a fast‑growing fintech. Build, deploy, and monitor end‑to‑end fraud and identity‑risk models while managing a growing data science team. Require 7‑15 years of applied ML experience, strong Python skills, and prior data‑science leadership.

Key Highlights
Hands‑on leadership of a data science team focused on fraud and identity risk
End‑to‑end ownership of model development, deployment, and monitoring
Fully remote role with compensation up to $400k base plus equity
Key Responsibilities
Lead and grow a team of data scientists from 2–3 to 5–6 members.
Build and ship fraud and identity‑risk models end‑to‑end, including feature engineering, training, deployment, and monitoring.
Set technical direction and raise the performance bar across the team.
Partner with product and engineering to translate insights into real‑time decision systems.
Technical Skills Required
Python Machine Learning Feature Engineering
Benefits & Perks
Up to $400k base salary
Equity compensation
Fully remote work

Job Description

Head of Machine Learning – Fraud & Identity

US-based · Fully remote · up to $400k base + equity

A profitable, well-funded fintech is hiring a hands-on ML leader to own fraud detection as it scales. Backed by top-tier investors, cash-flow positive, and growing fast.

This is a player-coach role. You'll build and lead a small team of data scientists while staying close to the models yourself. You own how the fraud product suite grows and how the team scales, reporting directly to the Director of Data Science. No handoff to an MLE, you drive direction.

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